Multiscale modeling

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• Published Subscription Original Research 10 Sep 2026

  Physics-Informed Machine Learning and Multiscale Modeling for Structure–Property Quantification of Polymer Composites

  By Sandip R. Thorat, Bhushan S. Chaudhari, Sharad Ninu Kolte, Amit V. Mohod, Dipesh B. Pardeshi, Atul A. Barhate, P. William

  Abstract: The growing need for light-weight, high strength, and sustainable polymer composites has led to the development of smart methods that enable accurate structural-property quantification and material design. However, conventional methods have been predominantly data-based, thus ignoring physical constraints as well as multi-scale interactions involving fiber, matrix, interface, and process parameters, leading to lower accuracy and poor robustness and interpretability of the models. In this study, a Cat Swarm Optimization-Tuned Physics-Informed …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article →